Offline handwriting recognition using Artificial Neural Network and Hidden Markov Model
Cursive handwriting is the most natural way for humans to communicate and record information. The developments of automatic systems that are capable of recognizing human handwritings offer a new way of improving human-computer interface and of enabling computers to perform repetitive tasks of readin...
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| Format: | Thesis |
| Bahasa: | English |
| Diterbitkan: |
2002
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/4393/ http://eprints.utm.my/4393/1/TayYongHaurPFKE2002.pdf |
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